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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 07 Feb 2010 09:19:29 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Feb/07/t1265560495tbzyz035uudsrwt.htm/, Retrieved Thu, 25 Apr 2024 04:42:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72842, Retrieved Thu, 25 Apr 2024 04:42:15 +0000

QR Codes:

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W1

Estimated Impact

220

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Histogram] [Histogram-Frequen...] [2010-02-07 16:19:29] [17264c076bcd9ffe53c701d21c08cfe9] [Current]
-         [Histogram] [frequentietabel/h...] [2010-02-14 19:13:43] [74be16979710d4c4e7c6647856088456] 
-         [Histogram] [frequentietabel/h...] [2010-02-14 19:13:43] [74be16979710d4c4e7c6647856088456] 
- RMP     [Kernel Density Estimation] [dichtheidsgrafiek...] [2010-02-14 19:22:38] [a8c1c439ca6f4d30ce41a75e6602ca53] 

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Dataseries X:

Download CSV

Histogram

Boxplots

2.06
2.06
2.05
2.04
2.04
2.03
2.03
2.03
2.02
2.02
2.02
2.02
2.01
2.01
2.01
2
2
1.99
1.99
1.99
1.98
1.97
1.97
1.96
1.96
1.96
1.96
1.95
1.94
1.94
1.93
1.93
1.93
1.92
1.92
1.9
1.9
1.9
1.9
1.89
1.88
1.88
1.87
1.86
1.86
1.85
1.83
1.82
1.8
1.8
1.79
1.78
1.78
1.78
1.77
1.77
1.76
1.75
1.75
1.75
1.75
1.75
1.74
1.74
1.74
1.74
1.73
1.73
1.73
1.73
1.73
1.72
1.71
1.71
1.71
1.7
1.7
1.7
1.7
1.7
1.69
1.68
1.67
1.65
1.61

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72842&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72842&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72842&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1.6,1.65[	1.625	1	0.011765	0.011765	0.235294
[1.65,1.7[	1.675	4	0.047059	0.058824	0.941176
[1.7,1.75[	1.725	18	0.211765	0.270588	4.235294
[1.75,1.8[	1.775	12	0.141176	0.411765	2.823529
[1.8,1.85[	1.825	4	0.047059	0.458824	0.941176
[1.85,1.9[	1.875	7	0.082353	0.541176	1.647059
[1.9,1.95[	1.925	11	0.129412	0.670588	2.588235
[1.95,2[	1.975	11	0.129412	0.8	2.588235
[2,2.05[	2.025	14	0.164706	0.964706	3.294118
[2.05,2.1]	2.075	3	0.035294	1	0.705882

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.6,1.65[ & 1.625 & 1 & 0.011765 & 0.011765 & 0.235294 \tabularnewline
[1.65,1.7[ & 1.675 & 4 & 0.047059 & 0.058824 & 0.941176 \tabularnewline
[1.7,1.75[ & 1.725 & 18 & 0.211765 & 0.270588 & 4.235294 \tabularnewline
[1.75,1.8[ & 1.775 & 12 & 0.141176 & 0.411765 & 2.823529 \tabularnewline
[1.8,1.85[ & 1.825 & 4 & 0.047059 & 0.458824 & 0.941176 \tabularnewline
[1.85,1.9[ & 1.875 & 7 & 0.082353 & 0.541176 & 1.647059 \tabularnewline
[1.9,1.95[ & 1.925 & 11 & 0.129412 & 0.670588 & 2.588235 \tabularnewline
[1.95,2[ & 1.975 & 11 & 0.129412 & 0.8 & 2.588235 \tabularnewline
[2,2.05[ & 2.025 & 14 & 0.164706 & 0.964706 & 3.294118 \tabularnewline
[2.05,2.1] & 2.075 & 3 & 0.035294 & 1 & 0.705882 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72842&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][1.6,1.65[[/C][C]1.625[/C][C]1[/C][C]0.011765[/C][C]0.011765[/C][C]0.235294[/C][/ROW]
[ROW][C][1.65,1.7[[/C][C]1.675[/C][C]4[/C][C]0.047059[/C][C]0.058824[/C][C]0.941176[/C][/ROW]
[ROW][C][1.7,1.75[[/C][C]1.725[/C][C]18[/C][C]0.211765[/C][C]0.270588[/C][C]4.235294[/C][/ROW]
[ROW][C][1.75,1.8[[/C][C]1.775[/C][C]12[/C][C]0.141176[/C][C]0.411765[/C][C]2.823529[/C][/ROW]
[ROW][C][1.8,1.85[[/C][C]1.825[/C][C]4[/C][C]0.047059[/C][C]0.458824[/C][C]0.941176[/C][/ROW]
[ROW][C][1.85,1.9[[/C][C]1.875[/C][C]7[/C][C]0.082353[/C][C]0.541176[/C][C]1.647059[/C][/ROW]
[ROW][C][1.9,1.95[[/C][C]1.925[/C][C]11[/C][C]0.129412[/C][C]0.670588[/C][C]2.588235[/C][/ROW]
[ROW][C][1.95,2[[/C][C]1.975[/C][C]11[/C][C]0.129412[/C][C]0.8[/C][C]2.588235[/C][/ROW]
[ROW][C][2,2.05[[/C][C]2.025[/C][C]14[/C][C]0.164706[/C][C]0.964706[/C][C]3.294118[/C][/ROW]
[ROW][C][2.05,2.1][/C][C]2.075[/C][C]3[/C][C]0.035294[/C][C]1[/C][C]0.705882[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72842&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72842&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1.6,1.65[	1.625	1	0.011765	0.011765	0.235294
[1.65,1.7[	1.675	4	0.047059	0.058824	0.941176
[1.7,1.75[	1.725	18	0.211765	0.270588	4.235294
[1.75,1.8[	1.775	12	0.141176	0.411765	2.823529
[1.8,1.85[	1.825	4	0.047059	0.458824	0.941176
[1.85,1.9[	1.875	7	0.082353	0.541176	1.647059
[1.9,1.95[	1.925	11	0.129412	0.670588	2.588235
[1.95,2[	1.975	11	0.129412	0.8	2.588235
[2,2.05[	2.025	14	0.164706	0.964706	3.294118
[2.05,2.1]	2.075	3	0.035294	1	0.705882

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code